This repository houses a robust implementation of the binary search algorithm. Binary search is a highly efficient method for locating an item in a sorted list by systematically dividing the search interval in half.

🚂 AI ✈ ML 🛫 Core 🛳 Foundations 🚁 is a 🧸 comprehensive 🚋 that 🎁 provides 🚞 a solid 🚀 starting point 🛩 Artificial 🚟 Intelligence 🛸 and Machine 🚝 Learning 🚤 It covers 🏛 the ML 🏘 algorithms 🏬 mathematical 🕌 foundations 🏦 implementations 🏣 helping 🧱 learners 🚌 transition ⚽ from ⚾ theory to 🥎 hands on 🏀 projects 🏐 with 🏆 ease 🎳

《力扣加加》官方网站，力扣加加是一个专注于算法知识分享的平台，旨在通过通俗易懂的语言还原解题全过程。

Trying to cover the most asked coding questions at PBCs along with DSA implementations. (Striver + NeetCode SDE Sheet ONGOING)

In this project, ı implement the Dijkstra algorithm with adjacency list representation to make a program that finds the cheapest flights between given destinations on the network.

A GUI plaintext editor written in Java Swing, optimized with a Rope data structure (based on Treap) for O(log n) text operations. Features include comprehensive file operations (open, save, auto-save), multi-tab editing, KMP-based pattern search, real-time spell checking using dynamic programming and Trie data structures.

This repo shows my practice session of Data Structure and Algorithm. Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.

Codechef : ciscodeewane || Leetcode : boldmonk || Codeforces : rachit_vk

Problems from dailycodingproblem.com

No description provided.

My version of leetcode problem solutions

A comprehensive collection of Data Structures implementations in Java, including arrays, linked lists, stacks, queues, trees, graphs, and sorting algorithms. This repository serves as both a learning resource and a reference guide for computer science students and developers looking to enhance their understanding of fundamental data structures

LeetCode problems' solutions

Rust solutions to Project Euler programming problems

This repo contains the code that I do which may either be competitive or any other data structural. May be helpful for any of you who are reading this!!

🐍 Exercise List | Python Brazil Community

Daily Dose of Algorithms...

solutions to algorithms problems

This project focuses on customer segmentation using data mining techniques, specifically K-Means clustering, to classify customers into distinct groups based on their purchasing behaviors. The goal is to analyze customer data and segment them into clusters for targeted marketing strategies and better customer relationship management.

No description provided.

(Daily Update) Leetcode optimal solutions

These are my solutions to the Algorithms Engineering course at University of Bergen Spring 2021. https://www.uib.no/en/course/INF237

Contains all program of Data Structures and Algorithms in "C" Language.

A :notebook: to my solutions to algorithms that I have encountered and want to face

A set of useful classes, functions and algorithms for C# that I use on the daily for backend API development, console applications, tutorial explanations and more. A constant work in progress.

The aim of this project is to foster coding and implementing algorithms from scratch. Here I have implemented various Machine Learning Techniques from scratch and compared how well they perform to pre-exisitng trained models.

백준, 프로그래머스,구름 해결 문제들

🧠 Mastering Data Structures & Algorithms in Python – A structured 6-week self-study roadmap with theory, hands-on coding, problem-solving patterns, and real-world mini-projects using Python 3. Ideal for interviews, placements, and strengthening your algorithmic thinking.

1. Problem‑solving frameworks • Understand constraints, optimize time/space complexity (Big O). 2. Algorithms • Sorting (Merge/Quick), Searching (Binary Search). • Advanced: Dynamic Programming (DP), Greedy, Backtracking, Graph Algo (BFS/DFS, Dijkstra). 3. Data Structures • Linear: Arrays, Linked Lists, Stacks,Queues,Hash Maps. • Trees & Graphs

LeetCode Problems' Solutions